完全跟踪 meaning in English
full pegging
Examples
- The proposed control law can guarantee that the mobile robot will track the desired trajectory in the global sense as well as in finite time when the desired rotate velocity is a nonzero constant
使得对角速度为非零常数的期望轨迹，非完整移动机器人能够实现全局跟踪，并能在有限时间内完全跟踪上期望轨迹。 - It is also shown that all the signals in the closed - loop are bounded and the resultant tracking error lies within the confined dead - zone , by which the complete tracking over a pre - specified time - interval is achieved
提出初始修正吸引子的概念，构造的时变死区含这种初始修正吸引子，以使得闭环系统在给定时间区间上可实现完全跟踪。 - Thus , it is a good subject to investigate the iterative learning algorithms " application in robotic manipulators . so that it can be convergent in those conditions under constrains and can control robotic manipulators properly to realize trajectory tracking well
如何在上述这些限制和条件下，使迭代学习控制算法收敛，并使机械手得到良好的控制，实现对期望轨迹的完全跟踪，成为了一个很好的课题。 - Iterative learning control algorithm is a good approach to control industrial robotic manipulators because it can let the robotic manipulators follow the expected trajectory by iterative learning without the accurate model of the system
应用迭代学习算法控制机械手，可以在无法准确建模的情况下，通过迭代学习，逐渐完成对期望轨迹的完全跟踪，这一特点使迭代学习控制算法成为进行机械手轨迹跟踪控制的一个良好的选择。 - This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance . one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point , meanwhile external disturbance is considered , and then designs two on - line neural network controller respectively , which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system . a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together , guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system
本文对于一类含有外部扰动的多输入多输出( mimo )强非线性系统，提出了两种新的鲁棒自适应跟踪控制方法，第一种利用了taylor近似的原理，在考虑了外部扰动的情况下，将mimo强非线性系统在理想平衡点处线性化，分别设计了两个在线神经网络控制器，在线性和非线性系统之间的状态误差驱动下动态补偿系统的taylor近似高阶项及理想平衡点处的控制信号，满足极点配置方法的线性反馈控制器和两个在线神经网络联合作用于实际的被控mimo强非线性系统，在保证整个系统鲁棒稳定性的情况下，能够跟踪给定的指令信号；另一种方法是针对这类系统设计了3个在线神经网络，分别实时抵消这类非线性系统中的非线性部分、与控制量耦合的非线性项以及外部扰动，使得受控系统的输出可以完全跟踪给定输入参考信号。